Jonkergouw Philip M R, Khu Soon-Thiam, Savic Dragan A, Zhong Dan, Hou Xiu Q, Zhao Hong-Bin
Centre for Water Systems, School of Engineering, Computing and Mathematics, Harrison Building, University of Exeter, Exeter, EX4 4QF, UK.
Environ Sci Technol. 2009 Jan 15;43(2):408-14. doi: 10.1021/es8012497.
Chlorine is the most widely used water disinfectant in the world. As a result, optimal chlorine usage is essential for both human and environmental health. Chlorine decay models can be used to predict residual concentrations in water distribution networks and optimize chlorine dosing. However, the coefficients of current chlorine decay models are often dependent on the loading conditions and are therefore impractical for day-to-day water distribution network modeling purposes and chlorine dosing optimization studies. This study proposes and assesses a novel numerical chlorine decay model with four parameters that are independent of the loading conditions for a given water sample. The model is based on kinetic equations derived from the rate law for concurrent bimolecular second order reactions with chlorine and will be referred to as the variable rate coefficient (VRC) chlorine decay model. The performance of the proposed model is compared with another model reported in the literature, and the VRC model is also assessed for reliability with data sets that are omitted during model calibration. The VRC model is consistently found to be in agreement with the experimental data.
氯是世界上使用最广泛的水消毒剂。因此，优化氯的使用对人类健康和环境健康都至关重要。氯衰减模型可用于预测配水管网中的剩余浓度并优化氯投加量。然而，当前氯衰减模型的系数通常取决于负荷条件，因此对于日常配水管网建模和氯投加量优化研究而言并不实用。本研究提出并评估了一种新的数值氯衰减模型，该模型具有四个与给定水样的负荷条件无关的参数。该模型基于从氯的双分子二级并发反应速率定律推导出来的动力学方程，将被称为可变速率系数（VRC）氯衰减模型。将所提出模型的性能与文献中报道的另一个模型进行比较，并且还使用在模型校准期间省略的数据集评估VRC模型的可靠性。一直发现VRC模型与实验数据一致。
